On Ranking of Alternatives in Uncertain Group Decision Making Model
نویسندگان
چکیده
The weighted geometric mean ordering vector and logarithmic least squares are proposed to aggregate information of decision makers to generate weight vector from uncertainty comparison matrices in uncertain group AHP model. Especially, when the judgment matrices are incomplete, the latter can be developed to derive priorities under the condition of minimal deviation. Some concepts in uncertainty theory are introduced and the uncertainty distributions are assumed to be linear. Two numerical examples are examined to show the applications of the proposed methods.
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